Seeking a challenging role in Privacy-Preserving Applications of Deep Learning, where I can leverage my expertise in bridging cryptography to develop practical solutions. Committed to simplifying the application of Secure Multiparty Computation and Homomorphic Encryption to Deep Learning for end-users. Additionally, adept at exploring and implementing cutting-edge technologies such as Kubernetes, Docker, and HPC through my Home Lab research.
| ๐ Nationality | ๐ช๐ธ Spain |
| ๐ก Residency | ๐ช๐ธ Spain |
| ๐ Location | ๐ช๐ธ Spain |
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rok.co/@jose_cabrero_holgueras |
| ๐ Website | sdfljasfjkhsdfajsf โญ๏ธ Upgrade to Premium to contact |
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sdfljasfjkhsdfajsf โญ๏ธ Upgrade to Premium to contact |
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sdfljasfjkhsdfajsf โญ๏ธ Upgrade to Premium to contact |
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| Skilled in | python golang ai deep learning distributed systems docker kubernetes tensorflow keras |
| Fluent in | englishspanishfrench |
| Preferred annual pay (min) | $80,000/year |
| Last seen | 2 years ago |
| Signed up | 2 years ago |
| Badges |
๐จโ๐ป Remote worker ๐ Early adopter |
2019 - 2023: Privacy-Preserving Machine Learning Researcher @ CERN
2018 - 2018: Embedded Systems Software Intern @ CERN
2017 - 2018: Compiler Development Intern @ Universidad Carlos III de Madrid
2019 - 2023: Ph.D. in Computer Science and Technology @ Universidad Carlos III de Madrid
2018 - 2019: M.Sc in Cybersecurity @ Universidad Carlos III de Madrid
2014 - 2018: B.Sc in Computer Science and Engineering @ Universidad Carlos III de Madrid